Multi-RAT Coordination Frameworks in 6G Wireless Architectures

Coordination structures of various Multi -RATs in wireless 6G architectures enable the seamless integration of heterogeneous radio access technologies (Multi -RATs), such as sub-combination, MMWAE, and Wi-Fi 7. These return structures ensure resource efficiency, resource reliability, dynamic conference, low-latency experience, and intense efficiency. The objectives of the coordination structures of various Multi -RAT in 6G wireless architectures include obtaining perfect interoperability between various radio access technologies, optimizing spectrum use, minimizing latency during transfers, improving energy efficiency, and supporting low energy-related communications (URLLC). These structures aim to ensure intelligent connectivity on heterogeneous networks for next-generation applications. To implement coordination structures of various Multi - RAT in 6G, methods such as AI-oriented resource allocation, software-defined network (SDN), and network function virtualization (NFV) are employed. They allow real-time decision making, dynamic rat selection, and smart traffic direction. Simulation models and test shards integrating subTHz, MMWAE, and legacy systems are designed to validate performance. The results show a 35% improvement in spectral efficiency, 40% reduction in delivery latency, and higher service quality for high mobility scenarios. Coordinated architecture also demonstrated better adaptability to network conditions, ensuring perfect connectivity and reliability in various cases of use, including IoT, AR/VR, and autonomous systems.

Authors

Publication Details

Journal
Journal of Wireless Mobile Networks Ubiquitous Computing and Dependable Applications
Published
2025-06-30
DOI
https://doi.org/10.58346/jowua.2025.i2.046
Citations
1
Primary Topic
Advanced Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
0.73
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article

Multi-RAT Coordination Frameworks in 6G Wireless Architectures

Bharat Jyoti Ranjan Sahu, Dhajvir Singh, B Vinil, Sorabh Sharma et al.
1 citations
Journal of Wireless Mobile Networks Ubiquitous Computing and Dependable Applications
Advanced Wireless Communication Technologies
0.73
article

Multi-RAT Coordination Frameworks in 6G Wireless Architectures

Bharat Jyoti Ranjan Sahu, Dhajvir Singh, B Vinil, Sorabh Sharma, Raja Jitendra Nayaka, Vinay Kumar ‎Sadolalu Boregowda
article en
1 citations

Abstract

Coordination structures of various Multi -RATs in wireless 6G architectures enable the seamless integration of heterogeneous radio access technologies (Multi -RATs), such as sub-combination, MMWAE, and Wi-Fi 7. These return structures ensure resource efficiency, resource reliability, dynamic conference, low-latency experience, and intense efficiency. The objectives of the coordination structures of various Multi -RAT in 6G wireless architectures include obtaining perfect interoperability between various radio access technologies, optimizing spectrum use, minimizing latency during transfers, improving energy efficiency, and supporting low energy-related communications (URLLC). These structures aim to ensure intelligent connectivity on heterogeneous networks for next-generation applications. To implement coordination structures of various Multi - RAT in 6G, methods such as AI-oriented resource allocation, software-defined network (SDN), and network function virtualization (NFV) are employed. They allow real-time decision making, dynamic rat selection, and smart traffic direction. Simulation models and test shards integrating subTHz, MMWAE, and legacy systems are designed to validate performance. The results show a 35% improvement in spectral efficiency, 40% reduction in delivery latency, and higher service quality for high mobility scenarios. Coordinated architecture also demonstrated better adaptability to network conditions, ensuring perfect connectivity and reliability in various cases of use, including IoT, AR/VR, and autonomous systems.

Journal of Wireless Mobile Networks Ubiquitous Computing and Dependable ApplicationsVol. 16(2)
Openalex Percentile: Top 25%
Advanced Wireless Communication Technologies
0.73
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